aris-sdk 0.1.1

Decentralized AI Network SDK and Node Infrastructure

Aris SDK 🚀

The Decentralized AI Network Layer

Aris is a lightweight, decentralized infrastructure for local LLM inference. It allows users to contribute compute power as "Worker Nodes" and developers to consume that AI compute via a unified SDK with built-in micro-payments and registry management.

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🛠 Features

• Decentralized Registry: On-chain style ledger for managing API keys and balances.
• Worker Nodes: Easily turn any machine with a local LLM into a revenue-generating node.
• Standardized SDK: OpenAI-compatible interface for easy integration.
• Transparent Billing: Built-in balance deduction per inference request.

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📦 Installation

Install the core SDK via pip:

pip install aris-sdk

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🚀 Quick Start (Client Side)

To use the network as a developer, simply initialize the Aris client with your API key.

from aris.client import Aris

# Initialize with your minted key
client = Aris(api_key="sk-aris-your-unique-key")

# Generate a response from the decentralized swarm
response = client.generate("Why is the ocean salty?")

print(f"🤖 ARIS: {response}")

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🏗 Infrastructure Setup

1. Start the Registry

The Registry acts as the "Bank" and "DNS" of the network.

# Run the registry server (Default port: 8000)
python3 -m registry.main

2. Join as a Worker Node

Nodes register themselves with the Registry and wait for inference jobs.

# Start a node on port 9006
aris-node --port 9006

3. Admin: Minting New Keys

Manage your network users using the admin CLI.

# Create a new user with a 500 credit balance
aris-admin --email [e-mail] --balance 500.0

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📂 Project Structure

• /aris: The core Client SDK logic.
• /agent_node: Worker node infrastructure and LLM integration (TinyLlama).
• /registry: Centralized ledger for account and node management.

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📜 License

Distributed under the MIT License. See LICENSE for more information.

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🤝 Contributing

Contributions are welcome! Please open an issue or submit a pull request.

Built with ❤️ for the Decentralized AI Community.

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### **Final Pro-Tip for the Launch**
Before you run `python3 -m twine upload dist/*`, make sure your `LICENSE` file exists. You can create a quick one like this:

```bash
echo "Copyright (c) 2026 Sid - MIT License" > LICENSE